基于属性网络排序(ANeR)识别M期保守翻译指纹
Attribute Network-based Ranking (ANeR) identifies conserved translational fingerprints of M-phase
摘要
该研究开发多目标网络方法ANeR,用于在异质双条件组学数据中按与训练组的接近程度排序mRNA。作者将其应用于覆盖有丝分裂与减数分裂的30个数据集,识别出保守的M期翻译指纹,并在非洲爪蟾卵母细胞中实验验证。将ANeR用于减数分裂翻译程序,发现Fam76b和Cdca3是此前未识别的、促进Cdk1及时激活的翻译激活调控因子,并分析了CPE/PAS规则适用性。
原文摘要
Entry into M-phase requires mRNA translation, but whether mitotic and meiotic divisions share a conserved translational programme and which newly synthesized proteins promote Cdk1 activation remain unclear. We developed Attribute Network-based Ranking (ANeR), a multi-objective network-based method that ranks mRNAs according to their proximity to a training group across heterogeneous two-condition omics datasets. Applied to 30 datasets covering mitotic and meiotic divisions, ANeR identified a conserved M-phase translational fingerprint. Benchmarking ANeR predictions against independent mitotic datasets, together with experimental validation in Xenopus oocytes, confirmed that ANeR prioritizes proteins whose accumulation increases during both mitotic and meiotic M-phases. Application of ANeR to the meiotic translational programme identified Fam76b and Cdca3 as previously unrecognized translationally activated regulators required for timely Cdk1 activation, demonstrating that ANeR can uncover new regulators of meiotic M-phase. Analysis of the oocyte translational programme established how broadly CPE/PAS regulatory rules apply, identified transcripts that do not conform to these rules, and experimentally validated their translational activation. Together, these findings establish that vertebrate mitotic and meiotic transitions share a conserved programme of translationally regulated transcripts and demonstrate that ANeR can identify new regulators of cell division. Broadly, ANeR provides a flexible framework for investigating diverse biological questions using a collection of two-condition datasets.
推荐理由:提出可复用的多组学排序框架,并以跨数据集基准和爪蟾卵母细胞实验验证,发现减数分裂M期新调控因子;对卵母细胞成熟与胚胎研究有较高方法学和机制价值,但距临床ART应用尚远。
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